用于移动心肺监测和报警的耳内光电容积脉搏图

B. Venema, V. Blazek, S. Leonhardt
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引用次数: 12

摘要

在这项工作中,我们报告了MedIT耳内光电体积脉搏波测量系统(PPG)的人体试验。该系统分别以健康受试者和心功能不全患者进行评估。与标准心电图相比,测量生理心脏活动的最小误差为每分钟1.2次心跳,回归系数为0.9975。结合PPG振幅分析和心肺耦合(心肺窦性心律失常)提取呼吸相关信息。使用朴素贝叶斯分类器估计吸气和呼气时刻,其灵敏度和特异性分别为81%、4%和86%。对于心脏自动报警,定义了一个特征空间,明确地表明正常心律和心功能不全的可分离性。该研究结果为移动和长期的心肺监测和警报提供了一个有希望的前景,该监测和警报采用了一种不显眼且价格低廉的PPG测量技术,与现代通信设备完全兼容。
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In-ear photoplethysmography for mobile cardiorespiratory monitoring and alarming
In this work, we report on human trials with the MedIT in-ear photoplethysmography (PPG) measurement system. The system is evaluated with healthy subjects and people suffering from heart insufficiency, respectively. Physiological heart activity can be measured with a minimal error of 1.2 heartbeats per minute and a regression coefficient of 0.9975 compared with standard ECG. Respiration related information was extracted by combining PPG amplitude analysis and car-diorespirational coupling (cardiorespiratory sinus arrhythmia). The moments of inspiration and expiration were estimated with a Naive Bayes' classifier with high sensitivity and specificity of 81,4% and 86%, respectively. For automatic cardiological alarming, a feature space is defined that clearly demonstrates the separability of normal heart rhythm and heart insufficiency. The results demonstrate a promising perspective for a mobile and long-term cardiorespiratory monitoring and alarming with an unobtrusive and inexspensive PPG measurement technique that is fully compatible to modern communication devices.
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